From 77385c1e26ed5e5c13b32c9582de3e9302a45e6e Mon Sep 17 00:00:00 2001
From: junyanz <junyanz@berkeley.edu>
Date: Sun, 14 Jan 2018 17:13:18 -0800
Subject: update README

---
 util/util.py | 19 +++----------------
 1 file changed, 3 insertions(+), 16 deletions(-)

(limited to 'util/util.py')

diff --git a/util/util.py b/util/util.py
index 4de0a74..26b259a 100644
--- a/util/util.py
+++ b/util/util.py
@@ -2,11 +2,13 @@ from __future__ import print_function
 import torch
 import numpy as np
 from PIL import Image
-import inspect, re
+import inspect
+import re
 import numpy as np
 import os
 import collections
 
+
 # Converts a Tensor into a Numpy array
 # |imtype|: the desired type of the converted numpy array
 def tensor2im(image_tensor, imtype=np.uint8):
@@ -34,21 +36,6 @@ def save_image(image_numpy, image_path):
     image_pil = Image.fromarray(image_numpy)
     image_pil.save(image_path)
 
-def info(object, spacing=10, collapse=1):
-    """Print methods and doc strings.
-    Takes module, class, list, dictionary, or string."""
-    methodList = [e for e in dir(object) if isinstance(getattr(object, e), collections.Callable)]
-    processFunc = collapse and (lambda s: " ".join(s.split())) or (lambda s: s)
-    print( "\n".join(["%s %s" %
-                     (method.ljust(spacing),
-                      processFunc(str(getattr(object, method).__doc__)))
-                     for method in methodList]) )
-
-def varname(p):
-    for line in inspect.getframeinfo(inspect.currentframe().f_back)[3]:
-        m = re.search(r'\bvarname\s*\(\s*([A-Za-z_][A-Za-z0-9_]*)\s*\)', line)
-        if m:
-            return m.group(1)
 
 def print_numpy(x, val=True, shp=False):
     x = x.astype(np.float64)
-- 
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